Markus Brosch
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Gene expression and cancer classification
- Photosynthetic Processes and Mechanisms
Papers in
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- Advanced Proteomics Techniques and Applications 4
- Mass Spectrometry Techniques and Applications 3
- Analytical Chemistry and Chromatography 1
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- Metabolomics and Mass Spectrometry Studies 2
- Identification and Quantification in Food 2
- Gene expression and cancer classification 1
- Gene Regulatory Network Analysis 1
- Bioinformatics and Genomic Networks 1
- Co-authors
- J. Choudhary (4 shared papers)Tim Hubbard (2 shared papers)Lu Yu (2 shared papers)Pierre Mazière (1 shared paper)Shiri Freilich (1 shared paper)Russell Grocock (1 shared paper)Leon Goldovsky (1 shared paper)Janet M. Thornton (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (2 papers)Journal of Proteome Research (1 paper)PLoS Computational Biology (1 paper)Methods in molecular biology (1 paper)
- Partner nations
- United KingdomSweden
In The Last Decade
Markus Brosch
5 papers receiving 613 citations
Peers
Comparison fields: 5 of 92
- Spectroscopy 170
- Molecular Biology 391
- Aging 5
- Immunology 56
- Microbiology 12
Countries citing papers authored by Markus Brosch
This map shows the geographic impact of Markus Brosch's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus Brosch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Brosch more than expected).
Fields of papers citing papers by Markus Brosch
This network shows the impact of papers produced by Markus Brosch. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus Brosch. The network helps show where Markus Brosch may publish in the future.
Co-authors
The 15 scholars most cited alongside Markus Brosch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 345 | |
| 2 | 2007 | 182 | |
| 3 | 2008 | 52 | |
| 4 | 2012 | 36 | |
| 5 | 2009 | 6 |
About Markus Brosch
Markus Brosch is a scholar working on Spectroscopy, Molecular Biology, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 5 papers that have together received 621 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Identification and Quantification in Food (2 papers), Gene expression and cancer classification (1 paper), Gene Regulatory Network Analysis (1 paper), Bioinformatics and Genomic Networks (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Spectroscopy (170 citations), Molecular Biology (391 citations), Aging (5 citations), Immunology (56 citations) and Microbiology (12 citations). Markus Brosch has collaborated with scholars based in United Kingdom and Sweden. Frequent co-authors include J. Choudhary, Tim Hubbard, Lu Yu, Pierre Mazière, Shiri Freilich, Russell Grocock, Leon Goldovsky, Janet M. Thornton, Tom C. Freeman and Anton James Enright. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteome Research, PLoS Computational Biology and Methods in molecular biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.